1393 search results - page 188 / 279 » Machine Learning by Function Decomposition |
104
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
COLT
2008
Springer
15 years 3 months ago
2008
Springer
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
109
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CORR
2008
Springer
15 years 1 months ago
2008
Springer
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
113
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SLSFS
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
222
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ALT
2011
Springer
14 years 1 months ago
2011
Springer
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...